datapine

MAY 14, 2019

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. So, what makes the best book for data science? Why You Need To Read Data Science Books. We live in a world saturated with data.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

O'Reilly on Data

MAY 25, 2021

I’d like to share my thoughts on GPT-3 in terms of risks and countermeasures, and discuss real examples of how I have interacted with the model to support my learning journey. Three ideas to set the stage: OpenAI is not the only organization to have powerful language models. Among other things.

Modeling 346

Modeling Marketing Testing Machine Learning 346

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. An NLP algorithm uses this data to find patterns and extrapolate what comes next.

Unstructured Data 141

Unstructured Data Modeling Machine Learning Data mining 141

Data Science 101

SEPTEMBER 11, 2023

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. “What happens when AI ends up making mistakes? Who is responsible for fixing them?” Great question!

Software 110

Software Testing Finance IT 110

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. But wait, she asks you for your team metrics. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should I track? Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. Figure 1 below shows how contributions from two teams – an IT team on the right and a business analytics (BA) team on the left – must combine to create the analytics that serve business unit users.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

APRIL 30, 2024

While you may have planned or negotiated an exit, very often such departures are beyond your direct control, due to a leadership change, acquisition, or another strategic event. How you manage your time, emotions, and priorities during the transition impacts the opportunities, odds of getting offers, and your psyche.

IT 78

IT Technology Advertising Marketing 78

O'Reilly on Data

MARCH 7, 2019

AI systems passed the medical licensing exams in both China and England —doing better than average doctors. The goal of this article is to share key lessons I learned along the way to help you build similar systems faster and better. That happens because that’s how doctors will answer if you ask them what language they use.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

O'Reilly on Data

DECEMBER 12, 2019

This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. What is model debugging? For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smart Data Collective

JANUARY 9, 2023

For corporations, creating a reliable and easy-to-use corporate database is a vital part of developing and maintaining a smoothly-running operation. Unfortunately, building a corporate database from scratch can be tricky if you don’t know where to start. Understanding Your Options. Structured Query Language (SQL).

Data Science 76

Data Science Software IT 76

Data Science 101

OCTOBER 17, 2023

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer.

Consulting 59

Consulting Interactive Data-driven IT 59

FineReport

APRIL 25, 2024

But what exactly are data visualization jobs, and why are they important? What Are Data Visualization Jobs? These professionals use various tools and technologies to design charts, graphs, and dashboards that convey insights from large datasets in a compelling manner.

Visualization 52

Visualization Data-driven Interactive Dashboards 52

AWS Big Data

MARCH 13, 2024

Many organizations around the world rely on the use of physical assets, such as vehicles, to deliver a service to their end-customers. For example, the company’s procurement team can use this information to make decisions about which vehicles to prioritize for replacement before policy changes go into effect.

Analytics 91

Analytics IoT Metadata Internet of Things 91

Smart Data Collective

NOVEMBER 18, 2020

Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. You should learn what a big data career looks like , which involves knowing the differences between different data processes. What is Data Science? Where to Use Data Science?

Data mining 143

Data mining Data Science Informatics Statistics 143

CIO Business Intelligence

JUNE 27, 2022

Matt Tyson: You wrote that Sentry went from a hobby/side project to an enterprise product. How did that happen? How did that happen? What were key lessons you learned on that journey? I later joined Disqus, and the company started using it as well and that really encouraged me to make it even better.

Software 106

Software Experimentation Testing Marketing 106

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

AWS Big Data

AUGUST 10, 2023

To overcome these limitations, this post describes how to use Locust , a modern load testing framework, to conduct large-scale load testing for a more comprehensive evaluation of the streaming data solution. You can find more details on what this means and how to configure the load test later in this post.

Testing 75

Testing Dashboards Cost-Benefit Data Processing 75

CIO Business Intelligence

FEBRUARY 7, 2023

Some professionals said they had heard this phrase used directly about them, via a third-party, or through peers when sharing their own experiences. You get that,” says a business relationship manager working in the UK civil service, adding that she often heard this, most frequently when working at the Metropolitan Police. “If

Technology 145

Technology Advertising Software Management 145

IBM Big Data Hub

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important?

Machine Learning 71

Machine Learning Optimization Unstructured Data Sales 71

FineReport

DECEMBER 9, 2021

How to develop a smart BI strategy? What is a successful BI strategy? A business intelligence strategy is a framework that enables enterprises to use the right BI tools to analyze the correct data and then report to the right people to aid in making the right decisions. How to develop a BI strategy? What is possible?

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

FineReport

DECEMBER 19, 2019

For super rookies, the first task is to understand what data analysis is. One is how to gain insights from the data. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. Another is how to drive business decisions.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Smart Data Collective

MARCH 14, 2023

Their article covered some of the major advantages of using JavaScript for AI projects. What Are Some of the Benefits of Using JavaScript to Create AI Products? What Are Some of the Benefits of Using JavaScript to Create AI Products? Some of the benefits the IBM authors cited include: You can use the Node.js

Interactive 101

Interactive IoT Data Science Data-driven 101

Smart Data Collective

OCTOBER 8, 2021

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. As a hedge fund shareholder, you certainly want the best for your organization, right? For instance, you want to generate effective AUM, NAV, and share value reports to improve investor confidence as a manager.

Machine Learning 114

Machine Learning Testing Strategy Modeling 114

CIO Business Intelligence

JUNE 13, 2023

Waiting until it’s established may be safer but can put you behind your competitors. IT departments must keep apprised of these newly emerging ideas and technologies as they evolve and ascertain when — and whether — the moment is right to deploy them for serious work. Only you know when that moment might be for your tech stack.

IT 140

IT Scorecard Software Modeling 140

Cloudera

JANUARY 19, 2024

It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. This blog post aims to help you understand what you can do to get started with generative AI assisted SQL using Hue image version ​​2023.0.16.0 You can also just start typing a new instruction.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

CIO Business Intelligence

MAY 12, 2022

Do you want to know what the future may bring? What are predictive analytics tools? It helps to understand coding and to think like a programmer, but the tools do make it possible to generate sophisticated predictions with just a few mouse clicks. Predictive analysis tools have an answer. Are they right?

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Smart Data Collective

OCTOBER 26, 2023

One poll found that 56% of companies use AI to enhance their cybersecurity strategies. A number of hackers are using AI to exploit their targets more easily. On the other hand, many cybersecurity professionals are also using AI to safeguard their digital assets. AI poses a number of benefits and risks for modern businesses.

Technology 93

Technology Risk Measurement IoT 93

Cloudera

DECEMBER 9, 2022

Working with these organizations has taught us a lot about the needs of developers and administrators when it comes to developing new dataflows and supporting them in mission-critical production environments. . Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud.

Testing 95

Testing Cost-Benefit Interactive Visualization 95

Sisense

DECEMBER 30, 2019

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. The two dashboards below were created from the same set of data. Who is this for?

Dashboards 89

Dashboards Visualization Metrics Contextual Data 89

FineReport

NOVEMBER 26, 2019

What is the difference between so many data analysis tools? If you go online to search for relevant information in this area, it is difficult to see a fair point of view. Today, let us put aside these personal feelings. Next, let me introduce them one by one. Excel can do a lot of things. Which is better?

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

Smart Data Collective

SEPTEMBER 14, 2022

This is a change in course compared to the status quo which had the market dominated by trading firms , often using their own purpose-built solutions. Prakhar Ganesh has talked in depth about the benefits of using AI in high-frequency trading. What Is High-Frequency Algorithmic Trading and How Does AI Help?

Marketing 80

Marketing Testing Data-driven Machine Learning 80

Ontotext

DECEMBER 2, 2021

In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. However, if you want to interact with others, you have to have the tooling for it.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

Insight

OCTOBER 4, 2019

This comprehensive and easy three-step tutorial lets you train your own custom image detector using YOLOv3. The only requirement is basic familiarity with Python. Our input data set are images of cats (without annotations). As an example, we learn how to detect faces of cats in cat pictures. the more the better!

Testing 69

Testing Modeling Visualization Publishing 69

FineReport

APRIL 15, 2020

To view the data we are concerned about more efficiently, of course, you have noticed the epidemic screens on various websites. To view the data we are concerned about more efficiently, of course, you have noticed the epidemic screens on various websites. How to F ind the D ata you W ant? For example, you can find here.

Dashboards 98

Dashboards Visualization Publishing Software 98

Cloudera

APRIL 6, 2022

How to store and analyze data in space. Luckily, Webb’s tools are largely available in Python and parts of the data may be shared with institutes around the world to get more help. The process (in an ideal world) begins up in space, when the satellite makes decisions on board about what to send back to Earth.

Big Data 97

Big Data Machine Learning Insurance Data Processing 97

Jen Stirrup

MAY 5, 2020

If you prefer video, you can catch the video here. How can you differentiate the different opportunities to store your data in Azure? Now, it may not sound that interesting, but it’s crucial; if you don’t have your data, then you don’t have your business.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Smart Data Collective

MAY 20, 2021

Often, it is a large investment, and you will need to dedicate a lot of time and energy to learning new skills or developing existing ones. Business analysts are an important part of any organization , as they essentially act as a liaison between the advanced technologies and solutions and the businesses and clients who need them.

Business Analytics 106

Business Analytics Analytics Cost-Benefit Data-driven 106